Results 51 to 60 of about 87,758 (191)

A Novel Clustering-Based Three Level Under-Sampling Algorithm for Class Imbalance Problem

Journal of Applied Science and Engineering
The class imbalance is an important topic of research as imbalance exists in many applications where the presence of one type of sample is significantly greater than that of another type.
Vibha Pratap, Amit Prakash Singh
doaj   +1 more source

Developing a spatial-statistical model and map of historical malaria prevalence in Botswana using a staged variable selection procedure

International Journal of Health Geographics, 2007
Background Several malaria risk maps have been developed in recent years, many from the prevalence of infection data collated by the MARA (Mapping Malaria Risk in Africa) project, and using various environmental data sets as predictors.
Mabaso Musawenkosi LH, Sharp Brian L, Craig Marlies H, Kleinschmidt Immo   +3 more
doaj   +1 more source

Automatically discovering ordinary differential equations from data with sparse regression

Communications Physics
Discovering nonlinear differential equations that describe system dynamics from empirical data is a fundamental challenge in contemporary science. While current methods can identify such equations, they often require extensive manual hyperparameter ...
Kevin Egan, Weizhen Li, Rui Carvalho
doaj   +1 more source

Aplikasi Web Pengelolaan Tugas Akhir pada Teknik Informatika STMIK Palangkaraya

Jurnal Saintekom, 2018
Development of the computer is very fast and is used in various fields of life. Usually the computer is used to produce a variety of important information in order to improve the performance of an organization, company or institution to get the job done ...
Herkules Herkules, Yogi Hapa
doaj   +1 more source

Asymptotics and Consistent Bootstraps for DEA Estimators in Non-parametric Frontier Models [PDF]

Non-parametric data envelopment analysis (DEA) estimators based on linear programming methods have been widely applied in analyses of productive efficiency.
Alois Kneip, Léopold Simar, Paul W. Wilson   +2 more
core  

Bootstrap for local rigidity of Anosov automorphisms on the 3-torus [PDF]

, 2016
We establish a strong form of local rigidity for hyperbolic automorphisms of the 3-torus with real spectrum. Namely, let $L\colon\mathbb T^3\to\mathbb T^3$ be a hyperbolic automorphism of the 3-torus with real spectrum and let $f$ be a $C^1$ small ...
Gogolev, Andrey
core  

Selective inference after feature selection via multiscale bootstrap

, 2021
It is common to show the confidence intervals or $p$-values of selected features, or predictor variables in regression, but they often involve selection bias. The selective inference approach solves this bias by conditioning on the selection event.
Shimodaira, Hidetoshi, Terada, Yoshikazu
core  

Modeling Nonlinear Effects in Risk Ratio and Risk Difference Using Poisson and Gaussian Additive Regression Models

Stats
The logistic additive regression model has been a standard method in modeling nonlinear effects for multivariate analyses of binary outcomes in the generalized additive model (GAM) framework.
Hisashi Noma, Takahiro Kitano
doaj   +1 more source

On Bootstrap Coverage Probability with Dependent Data [PDF]

This paper establishes the optimal bootstrap block lengths for coverage probabilities when the bootstrap is applied to covariance stationary ergodic dependent data.
Janis J. Zvingelis
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Testing the unit root hypothesis against the logistic smooth transition autoregressive model [PDF]

In this paper two simple tests to distinguish between unit root processes and stationary nonlinear processes are proposed. New limit distribution results are provided, together with two F type test statistics for the joint unit root and linearity ...
Eklund, Bruno
core